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DBMS > Datomic vs. KeyDB vs. LevelDB vs. Lovefield vs. Prometheus

System Properties Comparison Datomic vs. KeyDB vs. LevelDB vs. Lovefield vs. Prometheus

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKeyDB  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScriptOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.datomic.comgithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­google/­leveldbgoogle.github.io/­lovefieldprometheus.io
Technical documentationdocs.datomic.comdocs.keydb.devgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdprometheus.io/­docs
DeveloperCognitectEQ Alpha Technology Ltd.GoogleGoogle
Initial release20122019201120142015
Current release1.0.6735, June 20231.23, February 20212.1.12, February 2017
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSD-3Open Source infoBSDOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++JavaScriptGo
Server operating systemsAll OS with a Java VMLinuxIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoyesNumeric data only
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono infoImport of XML data possible
Secondary indexesyesyes infoby using the Redis Search modulenoyesno
SQL infoSupport of SQLnononoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP/JSON API
Supported programming languagesClojure
Java
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuanonono
TriggersBy using transaction functionsnonoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
nonenoneyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistencynone
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes infousing MemoryDBno
User concepts infoAccess controlnosimple password-based access control and ACLnonono

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More resources
DatomicKeyDBLevelDBLovefieldPrometheus
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